Computer server redundancy, including backup power supplies, RAID storage devices and applications that automatically fail-over, keeps critical systems up and running longer than non-redundant systems. Similarly, effective system monitoring can provide early warning of failures and allow system managers to remotely manage these systems, further improving application uptime. While the concepts of computer system redundancy and system management are well-established in all levels of computing, from the personal computer to the largest hyperscale datacenters, the unique challenges of placing datacenter-class computing elements performing AI applications in mobile edge environments, like aircraft, ships, and land vehicles, brings unique challenges to system redundancy and management.
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Whether it is the food you eat or the package you receive on the porch, everything we touch found its way into a semi-truck at some point. There is a severe shortage of truck drivers and the costs are skyrocketing due to oil prices and inflation, putting at risk this fundamental aspect of American society that we take for granted. Fortunately, there is a solution on the horizon, backed by billions of dollars of investment, in the form of autonomous trucks. Believe it or not, you have likely passed one of these trucks on the highway, as they have logged hundreds of thousands of miles throughout the country.
The latest high-performance computing systems for AI (Artificial Intelligence) applications generate more heat than ever before. Datacenters have begun adoption of immersion cooling solutions that immerse the temperature-sensitive electronics in a non-conductive fluid which efficiently dissipates the heat. In parallel, many AI edge applications are transitioning from low-performing embedded systems to solutions which incorporate more advanced enterprise compute hardware. To solve both the thermal and structural challenges of the rugged edge, system integrators look to immersion cooling technology to meet their environmental specifications.
In today’s high-performance computing technological landscape, there is a stark contrast between the compute capabilities of enterprise hardware in datacenters and low-performing embedded systems in edge and transportable environments. The autonomous trucking industry in particular has seen a growing need for higher performance compute, storage, and networking solutions in its rugged edge environments. While size, weight, and power (SWaP) optimized embedded systems are the long-term objective of the industry, current autonomous trucking development platforms require access to high levels of compute to avoid any bottlenecks imposed upon their critical software developments. When looking to solve the developmental compute need of the autonomous truck industry through enterprise hardware – there are some important factors to consider.
Autonomous mobility has become increasingly important for many industries and we have only just started to see the tip of the iceberg. OEMs and system integrators have observed an increasing demand for automated heavy-duty vehicles such as buses, roboshuttles as well as trucks and are now facing an obligation to deliver.
With the availability of PCIe Gen 5 switches from Broadcom, One Stop Systems, Inc. (OSS) is ready to enter the market by supporting multiple IO endpoints like GPUs, NVMe storage devices, and networking cards at the Edge and Data Centers. With the advent of these switches, OSS Engineering designs products that meet the needs of demanding software applications - like artificial intelligence (AI), machine learning (ML) and other high-performance computing. OSS has already engineered numerous multi-slot PCIe Gen 5 backplanes that enable dense configurations of IO inside and outside the server. In general, PCIe 5.0 technology allows for more system topologies than ever before. Additionally, the feature-rich PCIe 5.0 switch designs help meet the needs of high-speed communications within a server, within a rack, and disaggregated solutions that use the PCIe bus.
In this video, Jaan Mannik does a tour of the OSS booth at ADAS & Autonomous Vehicle Expo 2022 in San Jose, CA. Jaan discusses the products showcased by OSS at ADAS and how they provide high-performance computing solutions for Edge AI in Autonomous Vehicles. OSS AI Transportable products provide autonomous vehicle optimized solutions for GPU acceleration, FPGA data ingest, and NVMe storage.
As the forefront of the development of artificial intelligence and a key application within One Stop Systems’ “AI Transportable” industry, autonomous vehicles present an opportunity for innovation in designing ruggedized servers and high-capacity storage products. While none of the vehicles on the road today are truly self-driving, progress is being steadily made towards systems that can successfully predict and navigate everyday traffic. Autonomous cars and trucks being currently deployed are capable of driving with limited operator input, it is predicted that fully autonomous vehicles will be widely available by the end of the decade. One Stop Systems has had the unique opportunity to support this progression by developing products catered to the extensive storage needs of the autonomous vehicles industry.
Out-of-Band (OOB) system management is a staple of the modern datacenter. The tools used by administrators have matured over the last 20 years to provide a variety of mission critical features for managing, monitoring, configuring, and updating computer systems independent of the host system’s resources. Intel led the way in the early days by defining a set of interface specifications for basic system management in 1998 called the Intelligent Platform Management Interface (IPMI). Over the next 20 years, 200+ computer vendors joined support for the IPMI specifications. While IPMI has served us well over the years, it is showing its age with a myriad of security concerns and use of legacy standards that make managing modern hybrid infrastructures difficult and complicated.
The idea and dream of a fully autonomous car is almost 100 years old. It was first formulated in the US magazine Scientific American. The reason for this was presumably the "American Wonder", a remote-controlled car that drove through Manhattan in 1925. After almost a century, it seems that the automotive industry is on the verge of reaching its goal of having driverless and fully autonomous vehicles participate in everyday traffic. But when will it finally come? To answer this question, we need to examine the reasons why vehicles are not yet fully autonomous.
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